Endor Labs
Program Analysis Engineer
Palo Alto, CA
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odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$5,693 more — $165,693 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $165,693 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Mechanical Engineers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Mechanical Engineers (17-2141) · San Jose-Sunnyvale-Santa Clara, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- We are looking for a Program Analysis Engineer with an interest in program analysis, static analysis, or machine learning for code, to join our engineering organization.
- This is an individual contributor role focused on our static analysis and ML-for-code initiatives.
- This role is a good fit for engineers who enjoy working on programming languages and code analysis, who are curious about applying ML techniques to real-world code and AppSec problems, and who thrive in a fast-paced startup environment.
Responsibilities
- Collaborate with engineers across the team through design discussions, code reviews, and hands-on pairing.
- A product mindset-you care about building things that work well for users, not just technically interesting code.
Requirements
- Experience with ML systems in production (training pipelines, evaluation frameworks, model serving, feedback loops).
- Comfort working in at least one of Java, Python, or Go, and the ability to ship production-quality code (or the trajectory to get there quickly).
- Neither is required.
- Familiarity with AppSec, DevSecOps, or software supply chain security.
- Opportunities to represent Endor Labs externally-e.g., talks at technical conferences, meetups, or industry events-if that's something you enjoy.
Skills
- Contributions to open-source static analysis tools, program analysis frameworks, or security research.
Compensation
- For candidates who receive an offer for this position, the compensation range is expected to be between $160,000 - $220,000.
Benefits
- Contribute to our existing suite of static analysis tools, helping improve precision, recall, coverage, and performance across supported languages.
- Participate in machine-learning experiments for SCA and SAST, from problem framing and dataset work through evaluation and the path from prototype to production.
- This may include additional incentives such as commission targets, restricted stock units, and/or bonuses, depending on the role.
Company info
- AI coding is the largest use case of enterprise AI adoption today, as is evident from the success of Anthropic on Claude Code, Cursor's $60B exit to SpaceX, and Cognition's $48B valuation.
- The bottleneck now has moved from code generation to security and safety - AI agents write code faster than any team can review it, and over 65% of the lines of code produced by them are insecure. Vulnerabilities are piling up 16x faster than companies can fix them, and adversaries are able to exploit these new vulnerabilities within hours.
- AURI by Endor Labs closes that gap. It runs inside the harness where coding agents work, through hooks, skills and MCP, so the controls sit outside the model and every agent action is visible. Underneath is our patented code context graph, which maps code, open source, containers and infrastructure. It shows which vulnerabilities can actually be reached and exploited, then delivers fixes that won't break the application. Security teams get evidence instead of noise, and developers get fixes instead of tickets.
- The companies building AI trust us to secure it - our customers include OpenAI, SpaceX, DoorDash, Dropbox, Atlassian, MongoDB, Snowflake, Robinhood and Peloton to name a few.
- Endor Labs is the third company from Founder & CEO Varun Badhwar, who built Prisma Cloud, the platform that helped define cloud security, from $0 to $300M ARR at Palo Alto Networks.
- We've raised $163M from Lightspeed, Coatue, DFJ Growth, Salesforce Ventures and Dell Technologies Capital.
- Software runs everything around our lives today - banking, hospitals, airports and power grids.
- The bottleneck now has moved from code generation to security and safety - AI agents write code faster than any team can review it, and over 65% of the lines of code produced by them are insecure.
- Vulnerabilities are piling up 16x faster than companies can fix them, and adversaries are able to exploit these new vulnerabilities within hours.
- AURI by Endor Labs closes that gap.
- It runs inside the harness where coding agents work, through hooks, skills and MCP, so the controls sit outside the model and every agent action is visible.
- Underneath is our patented code context graph, which maps code, open source, containers and infrastructure.
- It shows which vulnerabilities can actually be reached and exploited, then delivers fixes that won't break the application.
- Security teams get evidence instead of noise, and developers get fixes instead of tickets.
This listing is sourced directly from Endor Labs's careers page and normalized into a canonical job model.